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Stanford scientists developed a comprehensive, minimally invasive, dual-catheter pulsed field device that utilizes a rapid and simple integrated mapping/ablation strategy for the treatment of Atrial Fibrillation.

Stanford researchers in the Zhao Lab have designed and optimized a rotation device that can mechanically dissolve a clot for fast and complete clot retraction.

This invention is a machine learning algorithm for determining coronary artery calcification (CAC) scoring from routine CT scans.

Stanford scientists have discovered that theta oscillations in the anterior cingulate cortex can detect empathic states, and that targeting the upstream orexin circuit can modulate empathy-related behaviors.

Researchers at Stanford have developed methods to classify and treat MYC-driven hematopoietic cancers. The MYC oncogene drives the proliferation and survival of many hematopoietic cancers. These cancers are highly aggressive and do not respond to conventional chemotherapies.

Circulating levels of Neuromedin U (NMU) peptide are correlated with insulin resistance and obesity and dynamically regulated to suppress insulin secretion.

Stanford researchers have developed multivalent SIRP-alpha fusion polypeptides that selectively block the CD47–SIRP-alpha immune checkpoint with enhanced potency, enabling next-generation immunotherapies that promote immune clearance of cancer and diseased cells while minimizi

PRFlpo CRISPR-derived knock-in mice are designed to have 2A-flpo sequence inserted into the 3' UTR of the progesterone receptor (Pgr) gene.

Stanford researchers have developed a high-throughput platform that designs, delivers, and screens synthetic microRNAs to precisely reprogram human T cells and improve the efficacy of CAR T cell therapies.

Stanford researchers have developed stretchable and self-healable organic transistors that can be used to create skin-inspired wearable electronics.

Doctors with Stanford Medicine have developed a multi-user, mixed reality medical simulation application. Medical in-situ and simulation training centers cost millions of dollars a year to administer, with limited availability to those in remote areas or the third world.

This analog to digital convertor (ADC) method improves efficiency and minimizes signal distortion by optimizing sampling rate and bit rate allocation given a prescribed bit rate.

Researchers at Stanford's Kool lab have developed a rapid, accurate, and inexpensive method to detect RNA, including SARS-CoV2 RNA.

Stanford researchers have applied large-scale proteomic platforms to identify biomarkers that can be used to diagnose uveal melanoma and subtype eye tumors according to their gene expression profile (GEP) class or PRAME status.

Tracking in vivo cell distribution, migration, and engraftment using conventional techniques including MRI, PET/CT and conventional optical imaging is often hindered by low resolution, radioactive risks, and limited tissue penetration depth.